Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. An apparatus comprising: an administration device configured to cause estimated or measured non-zero amounts of an anesthetic drug substance to be introduced into a body of a person and to adjust input of the anesthetic drug substance into the body; and at least one processor and associated memory configured to: receive electroencephalographic data for a brain based on at least one measurement of the person exposed to the estimated or measured non-zero amounts of the anesthetic drug substance, the electroencephalographic data comprising slow waves having a frequency at or below 1 Hz; control the administration device to introduce continuously into the body the anesthetic drug substance at a rate of from 2 mg/(kg*h) to 4 mg/(kg*h) and to adjust the estimated or measured non-zero amounts of the anesthetic drug substance based on at least one of the following: the electroencephalographic data, activity of the slow waves, and data relating to the estimated or measured non-zero amounts of the anesthetic drug substance; determine changes in the activity of the slow waves of the electroencephalographic data with respect to the estimated or measured non-zero amounts of the anesthetic drug substance; predict a good neurological recovery of the person if the activity of the slow waves increases by more than 50% relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance and predict a poor neurological recovery of the person if the activity of the slow waves does not increase by more than 50% relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance; and present result data that represent the changes and that show (i) whether the activity of the slow waves has increased by more than 50% with the introduction of the anesthetic drug substance, thereby indicating the good neurological recovery, or (ii) whether the activity of the slow waves has not increased by more than 50% with the introduction of the anesthetic drug substance, thereby indicating the poor neurological recovery.
This invention relates to a medical apparatus for administering anesthetic drugs and monitoring brain activity to predict neurological recovery outcomes. The apparatus includes an administration device that delivers controlled doses of an anesthetic drug into a patient's body, adjusting the drug input based on real-time electroencephalographic (EEG) data. The system measures slow-wave brain activity (frequencies at or below 1 Hz) while the drug is administered at a rate between 2 mg/(kg*h) and 4 mg/(kg*h). The apparatus analyzes changes in slow-wave activity to assess neurological recovery potential. If slow-wave activity increases by more than 50% compared to baseline (pre-drug) levels, the system predicts a good neurological recovery. Conversely, if the increase is less than 50%, it predicts poor recovery. The results are displayed to indicate whether the patient is likely to experience good or poor neurological outcomes based on the observed brain activity changes. This approach combines drug administration with EEG monitoring to provide prognostic insights during anesthesia.
2. The apparatus of claim 1 , wherein the at least one processor is further configured to form the result data based on the activity of the slow waves and present the result data for a prediction of a neurological recovery level of the person.
This invention relates to a medical apparatus for monitoring and analyzing brain activity, specifically focusing on slow-wave brain activity, to predict neurological recovery in individuals. The apparatus includes at least one processor configured to process brain activity data, particularly slow waves, to generate result data that correlates with neurological recovery levels. The system may also include sensors or interfaces to capture brain activity signals, such as EEG data, and algorithms to extract and analyze slow-wave patterns. By evaluating the characteristics of these slow waves, the apparatus provides insights into the likelihood or extent of neurological recovery, which can be used in clinical settings to assess patient progress or treatment effectiveness. The invention aims to improve diagnostic accuracy and personalized treatment planning by leveraging slow-wave activity as a biomarker for neurological recovery.
3. The apparatus of claim 1 , wherein the at least one processor is further configured to form different pieces of the result data for the increase in the activity of the slow waves being more than 50% and the increase in the activity of the slow waves not being more than 50%.
This invention relates to a system for analyzing and enhancing brain activity, specifically targeting slow-wave activity during sleep. The apparatus includes at least one processor configured to process brainwave data, such as electroencephalogram (EEG) signals, to detect and quantify slow-wave activity. The processor is further configured to generate result data indicating whether the increase in slow-wave activity exceeds 50% or does not exceed 50%. The system may also include sensors for capturing brainwave data and a user interface for displaying the results. The apparatus may be used to monitor and optimize sleep quality by assessing the effectiveness of interventions designed to enhance slow-wave activity, which is associated with deep sleep and cognitive restoration. The processor may apply algorithms to differentiate between significant and marginal increases in slow-wave activity, providing actionable insights for sleep therapy or research applications. The invention aims to improve the precision of sleep monitoring by categorizing slow-wave activity changes into distinct thresholds, enabling more targeted interventions.
4. The apparatus of claim 1 , wherein the at least one processor is further configured to present the prediction of the good neurological recovery or the poor neurological recovery.
This invention relates to a medical apparatus for predicting neurological recovery outcomes in patients, particularly those who have suffered a neurological event such as a stroke or traumatic brain injury. The apparatus addresses the challenge of accurately forecasting a patient's likelihood of good or poor neurological recovery, which is critical for treatment planning and resource allocation. The apparatus includes at least one processor configured to analyze patient data, such as medical history, imaging results, and physiological measurements, to generate a prediction of the patient's neurological recovery. The processor applies machine learning or statistical models trained on historical patient outcomes to assess the probability of good or poor recovery. The system may also incorporate real-time monitoring data to refine predictions over time. A key feature of the apparatus is its ability to present the prediction results in a clear and actionable format, such as a probability score, risk category, or visual indicator, to guide clinical decision-making. The presentation may be displayed on a user interface or integrated into electronic health records for easy access by healthcare providers. The apparatus may also include additional processors or modules for data preprocessing, model training, or user interaction, ensuring robust and reliable predictions. By providing early and accurate recovery predictions, the apparatus helps clinicians tailor interventions, allocate resources efficiently, and improve patient outcomes. The system is designed to be adaptable to different neurological conditions and patient populations, enhancing its utility in various clinical settings.
5. The apparatus of claim 1 , wherein the at least one processor is further configured to measure the activity of the slow waves based on at least one of the following: amplitude spectrum, frequency spectrum, phase spectrum and a power spectral density of the slow waves.
This invention relates to a system for analyzing slow waves, such as those observed in physiological signals like brain activity or cardiac rhythms. The system includes at least one processor configured to measure the activity of these slow waves using various spectral analysis techniques. Specifically, the processor evaluates the slow waves by analyzing their amplitude spectrum, frequency spectrum, phase spectrum, and power spectral density. These measurements provide insights into the characteristics and behavior of the slow waves, which can be useful for medical diagnostics, monitoring, or research applications. The system may be part of a larger apparatus designed to detect, process, and interpret slow wave activity in real-time or from recorded data. By quantifying different aspects of the slow waves, the system enables more precise and comprehensive analysis compared to traditional methods that may rely on simpler metrics. This approach enhances the ability to detect abnormalities, track changes over time, or assess the effectiveness of interventions targeting slow wave activity. The invention is particularly valuable in fields such as neurology, cardiology, or sleep medicine, where understanding slow wave patterns is critical for diagnosis and treatment.
6. The apparatus of claim 1 , wherein the at least one processor is further configured to determine location dependent activity of the slow waves across the surface of the brain and form a topographical map of the location dependent activity of the slow waves to be shown for determining and presenting the result data.
This invention relates to brain activity monitoring, specifically the analysis of slow brain waves to create a topographical map of their location-dependent activity. The technology addresses the challenge of visualizing and interpreting slow wave patterns across the brain's surface, which is crucial for understanding neural function and diagnosing neurological conditions. The apparatus includes at least one processor configured to process brain wave data, particularly slow waves, to determine their activity levels at different brain locations. The processor generates a topographical map that visually represents the spatial distribution of slow wave activity, allowing for the identification of regions with high or low activity. This mapping helps clinicians and researchers assess brain function, detect abnormalities, and monitor treatment efficacy. The system may also include sensors to capture brain wave data, such as EEG electrodes, and a display to present the topographical map. The processor may apply signal processing techniques to enhance the accuracy of the activity measurements and ensure the map provides a clear, interpretable representation of slow wave dynamics. The invention improves upon prior methods by providing a more detailed and spatially resolved analysis of slow wave activity, aiding in both research and clinical applications.
7. The apparatus of claim 1 , wherein the at least one processor is further configured to control the administration device to: introduce continuously into the body the anesthetic drug substance at a rate of from 3 mg/(kg*h) to 4 mg/(kg*h); and predict the good neurological recovery of the person if the activity of the slow waves has increased at least by a factor of 2 relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance and predict the poor neurological recovery of the person if the activity of the slow waves has not increased at least by a factor of 2 relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance.
This invention relates to a medical apparatus for administering anesthetic drugs to predict neurological recovery in patients. The apparatus includes a processor that controls an administration device to continuously deliver an anesthetic drug substance into the body at a rate between 3 mg/(kg*h) and 4 mg/(kg*h). The processor monitors the activity of slow waves in the brain, which are low-frequency neural oscillations associated with deep sleep and recovery. The apparatus predicts good neurological recovery if the slow wave activity increases by at least a factor of 2 compared to the baseline activity before drug administration. Conversely, it predicts poor neurological recovery if the slow wave activity does not meet this threshold. The system provides a quantitative method to assess neurological outcomes based on real-time brain activity monitoring during anesthesia. This approach helps clinicians adjust treatment strategies and improve patient prognosis by leveraging objective biomarkers of brain function.
8. The apparatus of claim 1 , wherein during the introduction of the anesthetic drug substance into the body, the at least one processor is further configured to control the administration device to change the rate of introduction of the anesthetic drug substance.
This invention relates to an apparatus for administering anesthetic drugs to a patient, addressing the need for precise and controlled delivery to ensure patient safety and efficacy. The apparatus includes a processor that monitors physiological parameters such as heart rate, blood pressure, and oxygen saturation to assess the patient's response to the anesthetic. Based on this data, the processor adjusts the administration device to modify the rate at which the anesthetic drug is introduced into the body. This dynamic adjustment prevents overdose or underdose, reducing risks like respiratory depression or inadequate anesthesia. The system may also incorporate feedback mechanisms, such as user inputs or additional sensors, to refine dosing decisions. The apparatus ensures real-time, adaptive control of anesthetic delivery, improving patient outcomes during medical procedures.
9. The apparatus of claim 8 , wherein the at least one processor changes the rate of introduction by decreasing the rate at which the anesthetic drug substance is introduced into the body.
This invention relates to medical devices for administering anesthetic drugs, specifically systems that dynamically adjust the rate of drug introduction to optimize patient sedation. The problem addressed is the need for precise control of anesthetic delivery to avoid under- or over-sedation, which can lead to complications such as awareness during surgery or excessive respiratory depression. The apparatus includes a processor that monitors patient vital signs and adjusts the drug infusion rate accordingly. In particular, the processor can reduce the rate at which the anesthetic drug is introduced into the patient's body when necessary, such as when signs of excessive sedation are detected. This adjustment helps maintain a safe and effective level of anesthesia while minimizing risks. The system may also include sensors for real-time monitoring of physiological parameters like heart rate, blood pressure, or oxygen saturation, which inform the processor's decisions. By dynamically modulating the infusion rate, the apparatus ensures more consistent and safer anesthesia delivery compared to fixed-rate systems. This technology is particularly useful in surgical settings where patient response to anesthetics can vary significantly.
10. The apparatus of claim 8 , wherein the at least one processor changes the rate of introduction by increasing the rate at which the anesthetic drug substance is introduced into the body.
This invention relates to medical devices for administering anesthetic drugs, specifically systems that dynamically adjust the rate of drug introduction into a patient's body. The problem addressed is the need for precise control of anesthetic delivery to maintain optimal sedation levels while minimizing risks such as overdose or inadequate anesthesia. The apparatus includes a processor that monitors physiological parameters (e.g., heart rate, blood pressure) and adjusts the drug infusion rate accordingly. The invention improves upon prior systems by incorporating real-time feedback to automatically increase the rate of anesthetic introduction when needed, ensuring faster response to patient conditions. This dynamic adjustment helps clinicians maintain therapeutic drug levels more effectively, reducing the likelihood of complications during procedures. The system may also include safety features to prevent excessive dosing. The invention is particularly useful in surgical settings where rapid and precise anesthetic control is critical.
11. A method comprising: causing estimated or measured non-zero amounts of an anesthetic drug substance to be introduced continuously into a body of a person at a rate of from 2 mg/(kg*h) to 4 mg/(kg*h); receiving electroencephalographic data for a brain based on at least one measurement of the person exposed to the estimated or measured non-zero amounts of the anesthetic drug substance, the electroencephalographic data comprising slow waves having a frequency at or below 1 Hz; adjusting the estimated or measured non-zero amounts of the anesthetic drug substance based on at least one of the following: the electroencephalographic data, activity of the slow waves, and data relating to the estimated or measured non-zero amounts of the anesthetic drug substance; determining changes in the activity of the slow waves of the electroencephalographic data with respect to the estimated or measured non-zero amounts of the anesthetic drug substance; predicting a good neurological recovery of the person if the activity of the slow waves increases by more than 50% relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance and predicting a poor neurological recovery of the person if the activity of the slow waves does not increase by more than 50% relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance; and presenting result data that represent the changes and that show (i) whether the activity of the slow waves has increased by more than 50% with the introduction of the anesthetic drug substance, thereby indicating the good neurological recovery, or (ii) whether the activity of the slow waves has not increased by more than 50% with the introduction of the anesthetic drug substance, thereby indicating the poor neurological recovery.
This invention relates to a method for assessing neurological recovery in a person by monitoring brain activity in response to controlled administration of an anesthetic drug. The method involves continuously introducing an anesthetic drug into a person's body at a rate between 2 mg/(kg*h) and 4 mg/(kg*h). Electroencephalographic (EEG) data is collected from the person's brain, focusing on slow waves with frequencies at or below 1 Hz. The administered drug dosage is adjusted based on the EEG data, the activity of the slow waves, or data related to the drug dosage. The method then analyzes changes in slow wave activity relative to pre-drug levels. If the slow wave activity increases by more than 50%, the method predicts a good neurological recovery. If the increase is less than 50%, it predicts a poor neurological recovery. The results are presented to indicate whether the person is likely to experience good or poor neurological recovery based on the observed changes in slow wave activity. This approach provides a quantitative assessment of neurological prognosis by correlating drug-induced EEG changes with recovery outcomes.
12. The method of claim 11 , further comprising presenting the result data for a prediction of a neurological recovery level of the person.
This invention relates to systems and methods for predicting neurological recovery in individuals, particularly those recovering from neurological injuries or conditions. The technology addresses the challenge of accurately assessing and forecasting a person's potential for neurological recovery, which is critical for personalized treatment planning and rehabilitation strategies. The method involves collecting physiological data from a person, such as brain activity, motor function, or other neurological indicators, using sensors or imaging devices. This data is processed to generate predictive models that estimate the likelihood and extent of neurological recovery. The models may incorporate machine learning techniques to analyze patterns in the collected data and correlate them with known recovery outcomes. Additionally, the method includes presenting the result data, which provides a prediction of the person's neurological recovery level. This prediction may be displayed in a user-friendly format, such as a numerical score, graphical representation, or risk assessment, to aid healthcare professionals in making informed decisions. The results may also be used to adjust treatment plans, monitor progress, or evaluate the effectiveness of interventions. The invention aims to improve the accuracy and reliability of neurological recovery predictions, enabling more effective and personalized rehabilitation strategies. By leveraging advanced data analysis and predictive modeling, the system helps clinicians optimize patient care and improve outcomes.
13. A non-transitory computer readable medium having a computer program code stored thereon, the computer program code being configured to cause a computer apparatus to: cause estimated or measured non-zero amounts of an anesthetic drug substance to be introduced continuously into a body of a person at a rate of from 2 mg/(kg*h) to 4 mg/(kg*h); receive electroencephalographic data for a brain based on at least one measurement of the person exposed to the estimated or measured non-zero amounts of the anesthetic drug substance, the electroencephalographic data comprising slow waves having a frequency at or below 1 Hz; adjust the estimated or measured non-zero amounts of the anesthetic drug substance based on at least one of the following: the electroencephalographic data, activity of the slow waves, and data relating to the estimated or measured non-zero amounts of the anesthetic drug substance; determine changes in the activity of the slow waves of the electroencephalographic data with respect to the estimated or measured non-zero amounts of the anesthetic drug substance; predict a good neurological recovery of the person if the activity of the slow waves increases by more than 50% relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance and predict a poor neurological recovery of the person if the activity of the slow waves does not increase by more than 50% relative to the activity of the slow waves prior to the introduction of the anesthetic drug substance; and present result data that represent the changes and that show (i) whether the activity of the slow waves has increased by more than 50% with the introduction of the anesthetic drug substance, thereby indicating the good neurological recovery, or (ii) whether the activity of the slow waves has not increased by more than 50% with the introduction of the anesthetic drug substance, thereby indicating the poor neurological recovery.
This invention relates to a system for administering anesthetic drugs and predicting neurological recovery in patients. The system continuously introduces an anesthetic drug into a patient's body at a controlled rate between 2 mg/(kg*h) and 4 mg/(kg*h). Electroencephalographic (EEG) data is collected from the patient's brain, focusing on slow waves with frequencies at or below 1 Hz. The system adjusts the anesthetic dosage based on the EEG data, slow wave activity, or other drug administration data. It analyzes changes in slow wave activity relative to pre-anesthesia levels to predict neurological recovery. If slow wave activity increases by more than 50% compared to baseline, the system predicts good neurological recovery. If the increase is less than 50%, it predicts poor recovery. The results are presented to indicate whether the patient is likely to experience good or poor neurological outcomes based on the observed changes in slow wave activity. This approach provides a quantitative method for assessing neurological prognosis during anesthesia.
Unknown
July 7, 2020
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